For 3090: We recommend CUDA 11.1 & Python v3.8.10 & Pytorch 1.9.0 conda create -n dfnet python=3.8.10 source activate dfnet conda install -c conda-forge cudatoolkit=11.1 cudnn=8.1.0 conda install -c ...
Ahead of this week's Opening Ceremony at the Winter Olympics in Milan, the World Anti-Doping Agency has addressed claims ...
We introduce a novel task of 3D visual grounding in monocular RGB images using descriptions with appearance and geometry information, termed Mono3DVG. Mono3DVG aims to localize the true 3D extent of ...
Abstract: Three-dimensional (3D) medical image segmentation typically demands extensive labeled training samples, which is prohibitively time-consuming and requires significant expertise. Although ...
Abstract: 3D image registration is essential in computer vision, medical imaging, and robotics. By aligning images from different perspectives into a single coordinate system, this approach provides a ...
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